AdventuRes in Crafting a Data Science Career

🔮 + 💻 = 📊

Jasmine Dumas | @jasdumas | jasdumas.github.io

Thursday, March 30th, 2017

Hi Narragansett!

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More about my background in Biomedical Engineering

I learned about data science from the internet

The classic data science diagram from Drew Conway:

A updated (albeit oppinated) data science diagram from Mikhail Popov:

I'm so tired of all the hilariously wrong data science venn diagrams so I made what I think will be definitive one. pic.twitter.com/ELcPZi6atJ

— Mikhail Popov (@bearloga) March 3, 2017

“A rose by any other name would smell as sweet”

Discovering resources can be a challenge

Dipping my toe in the water…

Cold emailing does work!

The response…

## Time difference of 994 days

My first exposure to R programming was through Shiny

Sometimes unpaid volunteer work does pays off…

Some of the results from participating in the Google Summer of Code:

How to make a connection to the R community

Applying for jobs that utilize R

Does anyone want to hire me to spice up their data with science using #rstats?

I'm looking for a job! 😬

— Jasmine Dumas (@jasdumas) March 24, 2016

Every path is unique…

tl;dr: I love learning in a structured setting but I can learn best from doing applied data science in the workplace.

Starting from the bottom is ok!

Advice that I wish I heard 2.5 years ago:

Ultimately, technical skills, passion, and curiosity are key attributes of a productive data scientist and essential to collaborating with others!

Alright, on to the fun stuff … R:

R packages are a great way to combine code & documentation to share with others

What even is, beer analytics?

Finding beer datasets can be difficult

Necessity breeds innovation

Accessing beer statistics with the ttbbeer package

Make landing pages for shiny apps with shinyLP

The End

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Slide topics

  1. intro to data science and how I discovered it
  2. where i’m at now
    1. *ttbbeer
    2. shinyLP
  3. how i got there
  4. volunteering to collaborate on oss research
  5. google summer of code
  6. making a connection with the rstats community
  7. documenting my path with technical writing
  8. starting from the bottom (PT internships > FT Jr. DS position > Early career DS)
  9. continuously volunteering for mentor ship and leadership roles in the rstats community